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About the Role

eCornell delivers online certificate programs designed by Cornell University faculty. Facilitators are vital to ensuring the effective delivery of content created by Cornell faculty, complementing asynchronous course content by leading engaging live sessions and providing personalized feedback on student work.

Responsibilities

Lead engaging live sessions discussing machine learning, natural language processing, large language models (LLMs), and AI-powered application design.
Provide personalized and constructive feedback (written and recorded video) on discussion boards, assignments, Python coding projects, and written analyses.
Coach learners to troubleshoot code and connect AI/ML techniques, architectural trade-offs, and responsible AI practices to real-world settings.
Foster meaningful connections with students in a highly interactive online environment.
Lead dynamic live discussions that foster interaction and deepen understanding.
Deliver clear, constructive, and authentic feedback on student submissions, including recorded video responses.
Manage online discussions, respond promptly to student inquiries, and track student progress.
Facilitate a minimum of 1-2 courses per month with consistent engagement and preparation.
Complete an in-depth onboarding program, including shadowing live courses, participating in debrief sessions, and mastering the assigned certificate program.
Engage in ongoing training and professional development to stay current with emerging learning methodologies, educational technologies, and best practices in online facilitation.

Requirements

8+ years of professional experience in applied machine learning, natural language processing, large language models, AI strategy, governance, and ethics.
Ability to explain complex AI/ML concepts to working professionals.
8+ years of relevant professional experience, or an equivalent combination of education and experience.
Substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a track record of building and deploying ML or AI solutions that deliver business value.
Proficient in Python and able to quickly read, debug, and evaluate students’ code in Jupyter notebooks.
Hands-on experience with tools such as NumPy, pandas, scikit-learn, NLTK or spaCy, Hugging Face Transformers or PyTorch, commercial LLM APIs (e.g., OpenAI, Anthropic, Google Gemini), and frameworks such as LangChain, LangGraph, or the OpenAI Agents SDK.
Ability to explain the math (probability and statistics, linear algebra, and gradient-based optimization) underlying ML models.
Ability to communicate complex technical concepts clearly to professionals with varied technical backgrounds and use relevant industry examples.
Comfortable facilitating live online discussions and providing timely and impactful feedback.
Exceptional communication skills, both written and verbal.
Comfortable with technology for instruction.
Submission of a Loom video response to a prompt is highly encouraged.
15+ years of progressive experience in data science, machine learning, NLP, AI engineering, or software and solutions architecture (preferred).
Experience holding senior technical, architectural, or leadership roles in which they designed, deployed, or scaled ML, NLP, or generative AI systems in production (preferred).
Hands-on experience fine-tuning LLMs (e.g., LoRA, DPO), working with open models from the Hugging Face Hub, building Model Context Protocol (MCP) servers, or developing autonomous and multi-agent systems (preferred).
Experience with SQL and relational databases, and with deep learning frameworks such as TensorFlow/Keras or PyTorch (preferred).
Experience leading cross-functional teams and sharing firsthand experience with AI opportunity assessment, AI governance and risk management, model evaluation in production, and the trade-offs involved in bringing AI solutions from prototype to deployment (preferred).
Experience teaching, coaching, or mentoring technical professionals (preferred).

Skills

Machine learning
Natural language processing
Large language models (LLMs)
AI-powered application design
Python
Jupyter notebooks
NumPy
pandas
scikit-learn
NLTK
spaCy
Hugging Face Transformers
PyTorch
OpenAI API
Anthropic API
Google Gemini API
LangChain
LangGraph
OpenAI Agents SDK
Probability
Statistics
Linear algebra
Gradient-based optimization
SQL
Relational databases
TensorFlow/Keras
Fine-tuning LLMs
LoRA
DPO
Hugging Face Hub
Model Context Protocol (MCP)
Autonomous systems
Multi-agent systems
AI strategy
AI governance
AI ethics
Model training
Model evaluation
Text-analysis pipelines
LLM fine-tuning
Retrieval-augmented generation (RAG)
AI agents
AI opportunity assessments
AI governance assessments

Location

Remote within the United States
Ithaca, New York

Work Type

Remote
Casual

Experience Level

8+ years of professional experience
15+ years of progressive experience (preferred)

Education Level

Graduate degree in computer science, data science, statistics, information science, or a related field preferred.

Salary/Compensations

Refer to Posting Language

Benefits

Comprehensive onboarding and training program
Access to ongoing professional development resources and periodic training updates
Opportunities to contribute to an exceptional online student experience
A collaborative and supportive facilitator community

About the Company

eCornell delivers expertly crafted online certificate programs designed by Cornell University faculty.
Our facilitators play a central role in creating dynamic, engaging, and highly interactive learning experiences.
We are committed to providing an exceptional student experience through live interactions, meaningful feedback, and authentic engagement.
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.”

Equal Opportunity

No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds.
We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply.
Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act.
We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.